Genyou Liu
Papers
1
Total Citations
2
H-Index
1
About
Dr. Genyou Liu is a leading researcher in multi-sensor fusion positioning, with a particular focus on integrating visual, inertial, and GNSS systems for autonomous vehicles and intelligent mobile platforms. His major contributions lie in developing robust algorithms that combine deep-learning-based feature extraction with advanced outlier detection to ensure reliable, high-precision positioning in challenging urban environments—a critical bottleneck for autonomous navigation. His most-cited work, "Visual-Inertial-GNSS Fusion Positioning for Vehicles With Deep-Learning-Based Feature Extraction and Outlier Detection" (2025), has already garnered 2 citations, reflecting its timely impact on the field. Dr. Liu’s research addresses the fundamental challenge of maintaining continuous and accurate localization where traditional GNSS signals fail, such as in tunnels or dense city canyons. By pioneering data-driven approaches to sensor fusion, he is advancing the reliability of autonomous systems, from self-driving cars to drones. His work is essential reading for engineers and researchers tackling real-world navigation problems, and his innovative methods are shaping the next generation of positioning technologies.
Research Focus
Key Achievements
Top Papers
- 1